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Hurdle, Inflated Poisson and Inflated Negative Binomial Regression Models for Analysis of Count Data with Extra Zeros
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Ehsan Bahrami Samani *   |
| Shahid Beheshti University |
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Abstract: (2963 Views) |
| In this paper, we propose Hurdle regression models for analysing count responses with extra zeros. A method of estimating maximum likelihood is used to estimate model parameters. The application of the proposed model is presented in insurance dataset. In this example, there are many numbers of claims equal to zero is considered that clarify the application of the model with a zero-inflated count response. Different count regression models are introduced in this paper to model such data sets. Including Hurdle Poisson and Hurdle Negative Binomial regression models. |
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| Keywords: Zero Inflated distribution, Power Series responses, Hurdle Model, Claim count. |
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Full-Text [PDF 233 kb]
(2309 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2017/10/15 | Accepted: 2018/12/14 | Published: 2018/12/25
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